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Python SciPy – The Open Source Python Library
Computational computing can be a complex topic. How to perform various mathematical functions in code isn’t straight forward.
With Python’s Scipy library, we’ll walk through a number of examples showing exactly how to create and execute complex computational computing functions.
The course s with an explanation of what Scipy is. Then we see how to install it. From there, we get into simple mathematical computations and and move into more advanced computations. The last few lessons demonstrate the full capabilities of Scipy.
Scipy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you’re ready to see how to create even the most complex mathematical functions in code, this course is for you.
We guarantee that all our online courses will meet or exceed your expectations. If you are not 100% satisfied with a course – for any reason at all – simply request a full refund.
That’s our promise to you. We hate games, gimmicks and tricks as much as you do. We guarantee no hassles if you want a refund, so ahead and order with confidence. You have absolutely nothing to lose.
Course Curriculum
SciPy
Get Python SciPy – The Open Source Python Library download
Module Introduction (1:37)
Basic Computations (7:56)
Complex functions (8:23)
Integrals (11:07)
Double Integrals (3:13)
Statistics (10:06)
Project (Linear Algebra) (8:59)
Module Summary (1:06)
Frequently Asked Questions
When does the course and finish?
The course s now and never ends! It is a completely self-paced online course – you decide when you and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like – across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
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